Wireshark Analysis
This is a comprehensive Wireshark reference that walks you through packet capture, filtering, and analysis workflows. It covers the essentials like display filter syntax for protocols and TCP flags, following streams to reconstruct conversations, and using the statistics tools to spot patterns. The security analysis section shows you how to detect port scans, ARP spoofing, and suspicious DNS activity. It's structured as a phase-by-phase guide rather than a quick reference, so it's better suited for learning the tool systematically or guiding an investigation from capture to conclusion. The filter examples are practical and copy-paste ready, which saves time when you're deep in a pcap file trying to isolate malicious traffic.
- skills.sh installs
- 173
- GitHub stars
- 39.4K
- last updated
- Jun 3, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill wireshark-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
Wireshark Network Traffic Analysis
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
Constraints and Guardrails
Operational Boundaries
- Capture only authorized network traffic
- Handle captured data according to privacy policies
- Avoid capturing sensitive credentials unnecessarily
- Properly secure PCAP files containing sensitive data
Technical Limitations
- Large captures consume significant memory
- Encrypted traffic content not visible without keys
- High-speed networks may drop packets
- Some protocols require plugins for full decoding
Best Practices
- Use capture filters to limit data collection
- Save captures regularly during long sessions
- Use display filters rather than deleting packets
- Document analysis findings and methodology
Examples
Example 1: HTTP Credential Analysis
Scenario: Investigate potential plaintext credential transmission
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- Repository
- github.com/sickn33/antigravity-awesome-skills
- First seen
- Jun 3, 2026
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